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                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
                <th scope="col">(5)</th>
                <th scope="col">(6)</th>
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        <tfoot><tr><td colspan='7'></td></tr>
<tr><td colspan='7'>The outcome variable is XX. Estimates are based on XX. Columns differ with respect to XX. All estimations include the following set of control variables: age, binary for being married, number of children in household, binary for no educational degree, personal income, years of work experience, satisfaction with household income. Robust standard errors in parenthesis. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001.</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>ATT       </td>
                  <td>0.119**        </td>
                  <td>0.044           </td>
                  <td>0.140***        </td>
                  <td>0.079*         </td>
                  <td>0.219***          </td>
                  <td>0.278***           </td>
                </tr>
                <tr>
                  <td>          </td>
                  <td>(0.040)        </td>
                  <td>(0.047)         </td>
                  <td>(0.033)         </td>
                  <td>(0.032)        </td>
                  <td>(0.047)           </td>
                  <td>(0.061)            </td>
                </tr>
                <tr>
                  <td>intercept </td>
                  <td>0.240***       </td>
                  <td>0.239***        </td>
                  <td>0.262***        </td>
                  <td>0.309***       </td>
                  <td>0.096**           </td>
                  <td>0.245***           </td>
                </tr>
                <tr>
                  <td>          </td>
                  <td>(0.032)        </td>
                  <td>(0.033)         </td>
                  <td>(0.023)         </td>
                  <td>(0.023)        </td>
                  <td>(0.029)           </td>
                  <td>(0.041)            </td>
                </tr>
                <tr>
                  <td>N         </td>
                  <td>1473           </td>
                  <td>737             </td>
                  <td>1696            </td>
                  <td>1841           </td>
                  <td>592               </td>
                  <td>556                </td>
                </tr>
                <tr>
                  <td>adj. R2   </td>
                  <td>0.01           </td>
                  <td>0.01            </td>
                  <td>0.00            </td>
                  <td>0.00           </td>
                  <td>0.02              </td>
                  <td>0.02               </td>
                </tr>
                <tr>
                  <td>BIC       </td>
                  <td>2002           </td>
                  <td>1033            </td>
                  <td>2317            </td>
                  <td>2607           </td>
                  <td>683               </td>
                  <td>791                </td>
                </tr>
                <tr>
                  <td>Log.Lik.  </td>
                  <td>−983           </td>
                  <td>−500            </td>
                  <td>−1140           </td>
                  <td>−1285          </td>
                  <td>−326              </td>
                  <td>−380               </td>
                </tr>
                <tr>
                  <td>p-value   </td>
                  <td>0.8986         </td>
                  <td>0.3816          </td>
                  <td>0.605           </td>
                  <td>0.564          </td>
                  <td>0.1536            </td>
                  <td>0.0423             </td>
                </tr>
                <tr>
                  <td>sub-sample</td>
                  <td>age_olderthan47</td>
                  <td>nchild_lessthan2</td>
                  <td>nchild_morethan1</td>
                  <td>married_married</td>
                  <td>married_notmarried</td>
                  <td>income2_lessthan850</td>
                </tr>
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